• DocumentCode
    3767348
  • Title

    A Robust Method for Musical Note Recognition

  • Author

    Xiaoxiang Liu;Mi Zhou;Peng Xu

  • Author_Institution
    Coll. of Electr. Eng. &
  • fYear
    2015
  • Firstpage
    212
  • Lastpage
    213
  • Abstract
    Musical note recognition plays a fundamental role in the process of the optical music recognition system. In this paper, we propose a robust method for recognizing notes. The method includes three parts: (1) the description of relationships between primitives by introducing the concept of interaction field, (2) the definition of six hierarchical structure features for analyzing notes structures, (3) the workflow of primitive assembly under the guidance of giving priority to key structure features. To evaluate the performance of our method, we present experimental results on real-life scores and comparisons with two commercial products. Experiment show that our method lead to quite good results, especially for complicated scores.
  • Keywords
    "Robustness","Adaptive optics","Complexity theory","Image analysis","Design automation","Computer graphics","Electrical engineering"
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design and Computer Graphics (CAD/Graphics), 2015 14th International Conference on
  • Type

    conf

  • DOI
    10.1109/CADGRAPHICS.2015.34
  • Filename
    7450422